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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
Working Forward initiative. As such, this position's work location is designated as virtual. Please note that the designated work location is subject to change based on the unit's business needs. The
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of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign
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on building dynamic system models for both the energy conversion technologies and the greenhouse climate, integrating these into a unified framework suitable for state estimation, predictive control, and
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such as scalable identification algorithms, uncertainty quantification, and the integration of learning-based models with formal verification. We offer a supportive, inclusive, and collaborative research
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learning, generalization/robustness and privacy aspects in scalable learning algorithms. Large‑scale optimization and control: Optimal control, model predictive control and other optimization‑based control
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quantum chemistry (DFT) and control engineering. PhD position in chemical reaction engineering (Kinetic modeling & thermal runaway) Supervisors: Sébastien Leveneur (sebastien.leveneur@ircelyon.univ-lyon1.fr
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adaptability of robotic systems. In particular, the research will investigate distributed and/or game-theoretic control frameworks for multi-robot systems, integrating optimization-based planning with learning
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—influence emotional activation, cognitive information processing, and subsequent economic behavior. The empirical part of the work will be based on a controlled laboratory experiment in which auditory stimuli
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and economic diversification. It aims to advance frontier research in biodiversity genomics, environmental health and nature-based innovation, building on Andorra’s high-mountain context. The Centre